Detection of random signals in dependent Gaussian noise /

Detection of random signals in dependent Gaussian noise /

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Bibliographic Details
Author / Creator:Gualtierotti, Antonio F., author.
Imprint:Cham : Springer, 2015.
Description:1 online resource (xxxiv, 1176 pages) : illustrations
Language:English
Subject:
Random noise theory.
Random noise theory.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11097077
Hidden Bibliographic Details
ISBN:9783319223155
3319223151
9783319223148
3319223143
Digital file characteristics:text file PDF
Notes:Includes bibliographical references and index.
Online resource; title from PDF title page (SpringerLink, viewed December 28, 2015).
Summary:The book presents the necessary mathematical basis to obtain and rigorously use likelihoods for detection problems with Gaussian noise. To facilitate comprehension the text is divided into three broad areas ? reproducing kernel Hilbert spaces, Cramér-Hida representations and stochastic calculus ? for which a somewhat different approach was used than in their usual stand-alone context. One main applicable result of the book involves arriving at a general solution to the canonical detection problem for active sonar in a reverberation-limited environment. Nonetheless, the general problems dealt with in the text also provide a useful framework for discussing other current research areas, such as wavelet decompositions, neural networks, and higher order spectral analysis. The structure of the book, with the exposition presenting as many details as necessary, was chosen to serve both those readers who are chiefly interested in the results and those who want to learn the material from scratch. Hence, the text will be useful for graduate students and researchers alike in the fields of engineering, mathematics and statistics.
Other form:Original 3319223143 9783319223148
Standard no.:10.1007/978-3-319-22315-5

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